code: def forward(self, x):
      for feature_layer in self.features:
          x = feature_layer(x)
      return x
  
imports: from torch.nn import init
  import sys
  import torch
  import torch
  import torchvision
  from torch import nn
  from datetime import datetime
  from fate.ml.nn.homo.fedavg import FedAVGClient, TrainingArguments
  from fate.ml.nn.model_zoo.agg_layer.fedpass._passport_block import ConvPassportBlock
  from fate.ml.nn.model_zoo.agg_layer.fedpass.agg_layer import FedPassAggLayerHost, FedPassAggLayerGuest
  from tqdm import tqdm
  from fate.ml.nn.model_zoo.hetero_nn_model import HeteroNNModelGuest, HeteroNNModelHost
  from fate.ml.nn.hetero.hetero_nn import HeteroNNTrainerGuest, HeteroNNTrainerHost, TrainingArguments
label_desc: Use image node_id 2 for calling the AlexNet_Bottom obj's underlying member method code with example usage: obj.forward(x) and returns: x